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DeepCuriosity: Curiosity-driven exploration and curriculum learning in AI with applications to autonomous agents, automated discovery and educational technologies. – DeepCuriosity
The research vision and program of the DeepCuriosity project aim at developing the foundations of a new scientific approach to autonomous artificial intelligence and lifelong machine learning. While deep reinforcement learning has achieved impressive results recently (e.g. in complex board or video
Signature d’une déclaration conjointe en faveur de la science ouverte par un réseau d’agences françaises de financement de la recherche
Téléchargez le communiqué de presse Dans le prolongement du Plan national pour la science ouverte lancé le 4 juillet 2018 par Frédérique Vidal, ministre de l’enseignement supérieur, de la recherche et de l’innovation, les agences de financement de la recherche nationales - ANR, Anses, Inserm/ANR
« Accelerating CCSU Technologies »
The objective of the ERA-NET ACT is to support R&D projects in the field of CO2 capture, storage and use (CCUS). Its ambition is to tackle the technological, environmental, social and economic challenges required to accelerate the development and the deployment of CCUS. This ERA-NET is la
Transdisciplinary Research for Pathways to Sustainability
The call aims at supporting transdisciplinary networks to innovate solutions and/or synthesize positive and negative inter-linkages between the economy, technology, institutions and the environment, climate, biodiversity, health and human well-being. This will support the co-design of sustainable de
Analyzing Large Scale Geometric Data Collections – AIGRETTE
Our ultimate goal is to design novel learning techniques capable both of handling geometric data directly and of combining and integrating different data sources into a unified analysis pipeline. Achieving these goals will require developing new techniques for both representing geometric data in
Bridging Artificial Intelligence and Neuroscience – BrAIN
Artificial intelligence (AI) with recent progress in statistical machine learning (ML) is currently aiming to revolutionise how experimental science is conducted. In physics, chemistry, biology, neuroscience or medicine, data is now the driver of new theoretical insights and new scientific hypothese
Hybridation Technologique et Travaux Pratiques
Le projet HTTP (Hybridation Technologique et Travaux Pratiques) a été porté par quatre composantes de l’UGA. Il a concerné un public d’environ 10 000 étudiants de premier cycle provenant de différentes formations (DUT/BUT, LPRO, Licence). Dans ces formations, les enseignements pratiques représentent
Preliminary Announcement: a transnational call for proposals on Personalised Medicine to be open soon
The overall objectives of the ERA PerMed call are (i) to support translational research projects in the field of Personalised Medicine; (ii) to encourage interdisciplinary collaboration between academia (research teams from universities, higher education institutions, public research perform
Transnational Call for Projects on Nanomedicine in the context of ERA-NET EuroNanoMed III - 2021 Edition
The goal of this call for proposals is to both support translational research projects that combine innovative approaches in the field of Nanomedicine and to encourage and enable transnational collaboration between public and private research groups from academia, clinical/public health research or
The Starch Food Niche: Human Adaptation, Genes and Culture – Starch4Sapiens
Starch4Sapiens aims to analyze and compare the biological and behavioral changes that made possible efficient starchy food metabolization which occurred in Eurasia between the Upper Pleistocene and Neolithic (from ca 126 ka to 12 ka, 6). Our hypothesis is that regular consumption of large amounts of
